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...	...	@@ -37,11 +37,15 @@
37	37
38	38	== Requirements and installation ==
39	39
	40	+
40	40	Before installing the tvb-widgets library containing the TimeSeries widget, the following python libraries and Jupyter extensions should be installed:
41	41
42	42	* **Libraries:**
43		-** [[mne>>https://mne.tools/0.24/install/index.html]] version 0.24
44		-** [[ipympl>>https://github.com/matplotlib/ipympl#installation]]
	44	+** [[mne>>https://mne.tools/stable/index.html]] >= 1.0
	45	+** [[matplotlib>>https://matplotlib.org/3.5.0/index.html]]
	46	+** [[plotly>>https://plotly.com/python/]] == 5.14.0
	47	+** [[ipywidgets>>https://ipywidgets.readthedocs.io/en/7.x/]] == 7.7.2
	48	+** [[ipympl>>https://github.com/matplotlib/ipympl#installation]] >= 0.8.5
45	45	* (((
46	46	**Extensions:**
47	47
...	...	@@ -50,6 +50,8 @@
50	50	jupyter labextension install @jupyter-widgets/jupyterlab-manager
51	51
52	52	jupyter labextension install jupyter-matplotlib
	57	+
	58	+jupyter labextension install jupyterlab-plotly
53	53	)))
54	54	)))
55	55
...	...	@@ -69,28 +69,25 @@
69	69	%matplotlib widget
70	70	)))
71	71
72		- Then, the **TimeSeriesWidget** (from the tvb-widgets API) and the **//display//** function should be imported:
	78	+Then, simply import the **plot_timeseries** method, which gives you access to the TS widget:
73	73
74	74	(% class="box" %)
75	75	(((
76		-from tvbwidgets.api import TimeSeriesWidget
77		-from IPython.core.display_functions import display
	82	+from tvbwidgets.api import plot_timeseries
78	78	)))
79	79
80		-Assuming that the user has already created or imported a valid input, this is how the widget can be initialized and how an input can be assigned to it, using the //**add_datatype** //method (example below assumes that **//tsr//  **is a TVB TimeSeries datatype):
81	81
	86	+Assuming that the user has already created or imported a valid input, this is how the widget can be initialized and displayed (example below assumes that **tsr  **is a TVB TimeSeries datatype):
	87	+
82	82	(% class="box" %)
83	83	(((
84		-tsw = TimeSeriesWidget()
85		-tsw.add_datatype(tsr)
	90	+backend = 'plotly' # change to 'matplotlib' to see the other TS widget
	91	+
	92	+plot_timeseries(data=tsr, backend=backend)
86	86	)))
87	87
88		-Finally, to display and interact with the TimeSeries widget, the **//get_widget//**// //method is used inside the //**display **//function:
	95	+After running the code from above into a Jupyter cell, you should see the TS widget corresponding to the backend you selected.
89	89
90		-(% class="box" %)
91		-(((
92		-display(tsw)
93		-)))
94	94
95	95	{{html}}
96	96	<iframe width="840" height="480" src="https://www.youtube.com/embed/VmueiXMxbVk" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen></iframe>